Job Description
- Administer, maintain, and optimize enterprise database systems to ensure high availability and performance
- Monitor database health, troubleshoot issues, and resolve incidents in a timely manner
- Implement database backup, recovery, and disaster recovery strategies
- Ensure data integrity, security, and compliance with enterprise standards
- Support capacity planning, performance tuning, and scalability initiatives
- Collaborate with engineering teams to support application deployments and database changes
- Manage and support database platforms (e.g., DB2 z/OS, Oracle, SQL Server, PostgreSQL, Netezza) across development, test, and production environments
- Perform database installation, configuration, patching, and upgrades
- Monitor database performance and proactively tune queries, indexes, and configurations
- Implement and maintain backup, recovery, and high-availability solutions (e.g., replication, clustering)
- Troubleshoot database-related incidents, perform root cause analysis, and implement preventive measures
- Partner with application and product teams to review database designs and ensure optimal data structures
- Enforce database security standards, including access controls, encryption, and auditing
- Automate routine DBA tasks using scripting languages (e.g., Python, Shell, PowerShell)
- Document database configurations, processes, and operational procedures
- Support data migrations, releases, and environment refreshes
- Participate in on-call support rotations and incident response
- Database administration experience in a professional environment and/or comparable experience such as:
- Experience administering one or more database platforms (e.g., DB2 z/OS, Oracle, SQL Server, PostgreSQL, Netezza)
- Familiarity with database backup/recovery, high availability, and disaster recovery concepts
- Experience with performance tuning and query optimization
- Experience with scripting/automation (Shell, Python, PowerShell, etc.)
- Familiarity with Agile or other rapid application development methodologies
- Understanding of distributed systems and multi-tier architectures
- Bachelor’s degree in computer science, engineering, or related field required; advanced degree preferred
- Experience with database monitoring and observability tools
- Knowledge of cloud database platforms (AWS RDS, Azure SQL, etc.)
- Experience with data modeling and database design principles
- Familiarity with NoSQL databases and big data platforms
Experience: 5-8 Years .
The expected compensation for this role ranges from $60,000 to $135,000 .
Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.
Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.
Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.
Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.